A data analyst is designing a dashboard for a hospital's quality improvement team. The dashboard will be used by doctors, nurses, and administrators, some of whom have color vision deficiency. The dashboard includes a heatmap showing patient wait times by department and hour. Which design choice best ensures the heatmap is accessible?

Using a single color with varying opacity

Using a color scale that also varies in lightness, with a clear legend

A data analyst is creating a pie chart to show the market share of five competitors. The shares are: Company A 35%, Company B 30%, Company C 20%, Company D 10%, Company E 5%. The analyst wants to highlight that Company A is the market leader. Which practice could inadvertently mislead viewers?

Ordering slices from largest to smallest

Exploding the slice for Company A

Labeling each slice with its percentage

Using a 3D pie chart with the slice for Company A tilted toward the viewer

What is the primary purpose of adding a title and axis labels to a visualization?

To reduce the amount of data displayed in the chart

To make the chart more colorful and visually appealing

To provide context and clarify what data is being shown

To ensure the chart is accessible to colorblind users

When selecting data for a visualization, which factor is most important to ensure the visualization is relevant and accurate?

Selecting data that is easiest to obtain, regardless of its source

Using only data from the most recent time period available

Choosing data that directly supports the message or question being addressed

Including as much data as possible to avoid missing any details

CompTIADataX

Domain 2Objective 5

Results Communication DY0-001 Practice Questions (Page 1)

Part of the Modeling, analysis, and outcomes domain, which accounts for 24% of the DY0-001 exam. CompTIA does not publish an official question count, but from its 165-minute exam (~65–110 total, ~16–26 in this domain), expect 3–5 from this objective — we provide 20 practice questions to prepare you well beyond it. (estimate)

20questions here

4free pages

4concepts

24%of the exam

Questions 1–5

1application · medium
A data analyst is designing a dashboard for a hospital's quality improvement team. The dashboard will be used by doctors, nurses, and administrators, some of whom have color vision deficiency. The dashboard includes a heatmap showing patient wait times by department and hour. Which design choice best ensures the heatmap is accessible?
Select an answer first
2application · medium
A data analyst is creating a pie chart to show the market share of five competitors. The shares are: Company A 35%, Company B 30%, Company C 20%, Company D 10%, Company E 5%. The analyst wants to highlight that Company A is the market leader. Which practice could inadvertently mislead viewers?
Select an answer first
3application · medium
A data analyst is creating a visualization to show the distribution of customer ages for a product launch. The data is heavily skewed, with most customers in the 20-30 age range and a few in the 60-70 range. The analyst wants to accurately represent the distribution. Which chart type is most appropriate?
Select an answer first
4foundation · easy
What is the primary purpose of adding a title and axis labels to a visualization?
Select an answer first
5foundation · easy
When selecting data for a visualization, which factor is most important to ensure the visualization is relevant and accurate?
Select an answer first

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Results Communication DY0-001 Practice Questions (Page 1)

Questions 1–5

A data analyst is creating a pie chart to show the market share of five competitors. The shares are: Company A 35%, Company B 30%, Company C 20%, Company D 10%, Company E 5%. The analyst wants to highlight that Company A is the market leader. Which practice could inadvertently mislead viewers?

What is the primary purpose of adding a title and axis labels to a visualization?

When selecting data for a visualization, which factor is most important to ensure the visualization is relevant and accurate?

Keep studying — Modeling, analysis, and outcomes